Changing Perspectives — Changing Paradigms: Taking the "Soft Path" to Water Sustainability in the Okanagan Basin
Bibliographic record
Abstract
Access to fresh water is vital to Canada's long-term prosperity. Water is the foundation of our economy and communities, and is essential for all forms of life. Yet despite its critical importance, water is undervalued and often wasted. Perceived as an abundant and virtually limitless resource, the myth of abundance is entrenched even in water-stressed areas such as the Okanagan, where drinking water supplies are at risk, conflicts among water users are common, economic opportunities are threatened, and aquatic ecosystem health and fisheries are declining. Population growth, coupled with the uncertain (yet increasingly evident) impacts of climate change, will only increase these challenges in the future. Water conservation and demand management are critical components in a lasting long-term and sustainable approach to water management. Demand management offers a genuine win-win solution as communities reap both environmental and economic dividends from reducing water use. To demonstrate that conservation is the next best source of "new" water in regions where supply is limited, this paper outlines opportunities to move toward more sustainable water management. A comprehensive and long-term approach to water demand management, referred to as the "soft path," requires active participation by water users and effective strategic planning to create the appropriate mix and timing of conservation measures for the region. Lasting solutions require changes in attitudes and opinions about water and must draw on innovative tools and best practices from other jurisdictions to create a basin-wide and comprehensive "made in the Okanagan" approach to sustainable water management.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.033 | 0.031 |
| Scholarly communication | 0.018 | 0.011 |
| Open science | 0.002 | 0.020 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".